--- license: cc-by-4.0 task_categories: - text-classification language: - en - multilingual tags: - research-intent - llm-as-judge - chatml - openaire pretty_name: Research Intent — LLM-as-Judge configs: - config_name: default data_files: - split: Bonsai_8B_gguf path: llm_judge_Bonsai-8B-gguf.jsonl - split: GLM_4.7_Flash_GGUF path: llm_judge_GLM-4.7-Flash-GGUF.jsonl - split: Gemma_4_12B_it_GGUF path: llm_judge_Gemma-4-12B-it-GGUF.jsonl - split: Gemma_4_26B_A4B_it_GGUF path: llm_judge_Gemma-4-26B-A4B-it-GGUF.jsonl - split: Gemma_4_31B_it_GGUF path: llm_judge_Gemma-4-31B-it-GGUF.jsonl - split: Gemma_4_E2B_it_GGUF path: llm_judge_Gemma-4-E2B-it-GGUF.jsonl - split: Gemma_4_E4B_it_GGUF path: llm_judge_Gemma-4-E4B-it-GGUF.jsonl - split: LFM2_24B_A2B_GGUF path: llm_judge_LFM2-24B-A2B-GGUF.jsonl - split: LFM2_8B_A1B_GGUF path: llm_judge_LFM2-8B-A1B-GGUF.jsonl - split: Nemotron_3_Nano_30B_A3B_GGUF path: llm_judge_Nemotron-3-Nano-30B-A3B-GGUF.jsonl - split: Phi_4_mini_instruct_GGUF path: llm_judge_Phi-4-mini-instruct-GGUF.jsonl - split: Qwen3.5_35B_A3B_GGUF path: llm_judge_Qwen3.5-35B-A3B-GGUF.jsonl - split: Qwen3.5_4B_FP16_vLLM path: llm_judge_Qwen3.5-4B-FP16-vLLM.jsonl - split: Qwen3.5_4B_GGUF path: llm_judge_Qwen3.5-4B-GGUF.jsonl - split: Qwen3.6_27B_GGUF path: llm_judge_Qwen3.6-27B-GGUF.jsonl - split: Qwen3.6_35B_A3B_GGUF path: llm_judge_Qwen3.6-35B-A3B-GGUF.jsonl - split: SmolLM3_3B_GGUF path: llm_judge_SmolLM3-3B-GGUF.jsonl - split: gemini_3.5_flash path: llm_judge_gemini-3.5-flash.jsonl - split: gpt_oss_120b_mxfp_GGUF path: llm_judge_gpt-oss-120b-mxfp-GGUF.jsonl - split: gpt_oss_20b_mxfp4_GGUF path: llm_judge_gpt-oss-20b-mxfp4-GGUF.jsonl - split: granite_4.0_h_tiny_GGUF path: llm_judge_granite-4.0-h-tiny-GGUF.jsonl - split: human_annotations path: human_annotations.jsonl --- # Research Intent — LLM-as-Judge [![GitHub](https://img.shields.io/badge/GitHub-ethicalabs.ai-black.svg)](https://github.com/ethicalabs-ai/Echo-DSRN/) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/) [![Live Demo](https://img.shields.io/badge/Live_Demo-openaire--2026.ethicalabs.ai-brightgreen.svg)](https://openaire-2026.ethicalabs.ai/) [![OpenAIRE Hackathon](https://img.shields.io/badge/OpenAIRE-AI_Hackathon_2026-orange.svg)](https://innovation.openaire.eu/component/content/article/openaire-ai-hackathon.html) [![OpenAIRE Graph Evaluator](https://img.youtube.com/vi/9LHmmzLK3zs/0.jpg)](https://www.youtube.com/watch?v=9LHmmzLK3zs) [**▶️ Watch the Video**](https://www.youtube.com/watch?v=9LHmmzLK3zs) LLM-as-Judge annotations for research paper intent classification, collected through the Echo-DSRN collaborative platform during the OpenAIRE AI Hackathon 2026. The dataset has **one split per judge model** (`Gemma_4_E4B_it_GGUF`, `Qwen3.6_35B_A3B_GGUF`, `Bonsai_8B_gguf`, ...) plus a `human_annotations` split with curator annotations. Split names use underscores in place of the dashes in model names (HF does not allow dashes in split names). Each record is a single judge verdict from one model on one paper, in ChatML conversation format with the judge's reasoning (rationale) included both inline in the assistant message and as a separate `reasoning` field. ## OpenAIRE AI Hackathon 2026 🇪🇺 This dataset is part of **ethicalabs.ai**'s entry in the [OpenAIRE AI Hackathon 2026](https://innovation.openaire.eu/component/content/article/openaire-ai-hackathon.html), co-organised by OpenAIRE and Alien Intelligence — a 12-week open science build challenge. **[🔴 Live Demo → openaire-2026.ethicalabs.ai](https://openaire-2026.ethicalabs.ai/)** The live application classifies research papers in real time using this model, with publication metadata streamed from the [OpenAIRE Graph API](https://graph.openaire.eu) under **CC BY 4.0**. --- ## Labels - **Methodology** — introduces a new algorithm, model architecture, or method - **Dataset** — primarily contributes a new dataset, benchmark, or annotation scheme - **Review** — survey, systematic review, or position paper - **Applied** — applies existing methods to a domain problem - **Theoretical** — mathematical or formal analysis - **Unclassifiable** — garbled, non-English, or non-academic content ## Data structure ```json { "doi": "10.48550/arXiv.2106.01345", "title": "...", "description": "abstract text", "initial_intent": "Methodology", "messages": [ {"role": "system", "content": "You are a multilingual research paper intent classifier..."}, {"role": "user", "content": "Classify the research intent of this paper:\n\nTitle: ...\nAbstract: ..."}, {"role": "assistant", "content": "The paper introduces a novel...\n\nDataset"} ], "reasoning": "The paper introduces a novel...", "model_prediction": "Dataset", "is_flagged": false, "flag_reason": null, "confidence": "high" } ``` - `messages` — ChatML conversation with inline reasoning in the assistant turn - `reasoning` — the judge's rationale as a standalone field - `model_prediction` — the label proposed by the judge - `is_flagged` / `flag_reason` — quality-issue signal (garbled text, language mismatch) - `confidence` — high / medium / low ## Splits One split per judge model (21 models, ~10k records each) plus `human_annotations` (46 curator annotations). Records within a split are per-paper single verdicts; a paper appears in every model split that judged it. ## Provenance Papers were collected from arXiv and OpenAIRE via the [OpenAIRE Graph](https://graph.openaire.eu/) and judged by 20+ open-weight LLMs. Underperforming models (e.g. DeepSeek-Qwen3-8B, Kurtis-E1.1, Ministral-3-3B, Jan-v1-4B) are excluded. MTP and non-MTP variants of the same model are merged (they produce identical predictions). Export tooling: `scripts/export_llm_judge_dataset.py` in the [OpenAIRE-AI-Research-Evaluator](https://github.com/ethicalabs-ai/OpenAIRE-AI-Research-Evaluator) repository. ## License CC-BY 4.0. Paper metadata originates from OpenAIRE Graph (CC BY 4.0). ## Citation If you reuse this work, please cite: ```bibtex @software{echo_dsrn_research_intent_clf, author = {Massimo Roberto Scamarcia}, title = {OpenAIRE Graph Evaluator: Research paper classifier and LLM-as-Judge pipeline}, year = {2026}, url = {https://huggingface.co/collections/ethicalabs/openaire-ai-hackathon-2026} } ```